{"id":"W3097729847","doi":"10.1002/admt.202000704","title":"Nanomechanical Gas Sensing with Laser Treated 2D Nanomaterials","year":2020,"lang":"en","type":"article","venue":"Advanced Materials Technologies","topic":"Gas Sensing Nanomaterials and Sensors","field":"Engineering","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Institute for Nanotechnology; University of Waterloo","funders":"Japan Society for the Promotion of Science; Natural Sciences and Engineering Research Council of Canada","keywords":"Graphene; Materials science; Nanomaterials; Oxide; Molybdenum disulfide; Nanotechnology; Dopant; Boron nitride; Adsorption; Tungsten disulfide; Surface modification; Doping; Chemical engineering; Optoelectronics; Chemistry; Organic chemistry; Composite material","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009580323,0.0004890648,0.0007893889,0.0001084822,0.0001088488,0.0001720703,0.0002636459,0.0002978767,0.00007359252],"category_scores_gemma":[0.0001240273,0.0003943226,0.00004978692,0.0003139756,0.0001421709,0.0002484547,0.0001146531,0.00009876391,0.0001281607],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005463597,"about_ca_system_score_gemma":0.00001306288,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006822793,"about_ca_topic_score_gemma":0.000003064203,"domain_scores_codex":[0.9981447,0.00004358013,0.0005432956,0.0004950662,0.0001807528,0.0005925792],"domain_scores_gemma":[0.9992312,0.00004727957,0.0001173633,0.0004550352,0.0000633341,0.00008578537],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000159873,0.000008830293,0.000005274169,0.0001078313,0.00004702888,0.0001656622,0.00005356428,0.001009975,0.9946938,0.0001740341,0.000128463,0.003445623],"study_design_scores_gemma":[0.0006584289,0.0002402145,0.0000170743,0.00008424902,0.00003525244,0.00008438932,0.0002548167,0.0002213193,0.9955318,0.0004482109,0.001908657,0.0005155802],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882767,0.00009842483,0.0004461856,0.0005350254,0.0005543607,0.000407267,0.00008415489,0.009405227,0.0001926081],"genre_scores_gemma":[0.9835983,0.0002114986,0.01581477,0.00008342921,0.00008524786,0.00001596686,0.00004255178,0.0001337559,0.00001447125],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01536859,"threshold_uncertainty_score":0.9998509,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009277278663809592,"score_gpt":0.1862283308279173,"score_spread":0.1769510521641077,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}